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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 23871
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    Explanations

    phrases related to first impressions or initial appearances

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express initial perceptions or observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Secondly
    -0.76
     Secondly
    -0.75
     Priority
    -0.66
    ictions
    -0.64
    onement
    -0.59
     priority
    -0.58
     retiring
    -0.58
     lifelong
    -0.57
    aldo
    -0.57
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.57
    POSITIVE LOGITS
     looks
    1.68
     look
    1.56
     seem
    1.52
     looked
    1.51
     resemble
    1.49
     resembled
    1.48
    look
    1.47
     sounded
    1.44
     sounds
    1.44
     resembles
    1.41
    Activations Density 0.657%

    No Known Activations